Analysis of Survival Data with Dependent Censoring is popular PDF and ePub book, written by Takeshi Emura in 2018-04-05, it is a fantastic choice for those who relish reading online the Medical genre. Let's immerse ourselves in this engaging Medical book by exploring the summary and details provided below. Remember, Analysis of Survival Data with Dependent Censoring can be Read Online from any device for your convenience.
Analysis of Survival Data with Dependent Censoring Book PDF Summary
This book introduces readers to copula-based statistical methods for analyzing survival data involving dependent censoring. Primarily focusing on likelihood-based methods performed under copula models, it is the first book solely devoted to the problem of dependent censoring. The book demonstrates the advantages of the copula-based methods in the context of medical research, especially with regard to cancer patients’ survival data. Needless to say, the statistical methods presented here can also be applied to many other branches of science, especially in reliability, where survival analysis plays an important role. The book can be used as a textbook for graduate coursework or a short course aimed at (bio-) statisticians. To deepen readers’ understanding of copula-based approaches, the book provides an accessible introduction to basic survival analysis and explains the mathematical foundations of copula-based survival models.
Detail Book of Analysis of Survival Data with Dependent Censoring PDF
- Author : Takeshi Emura
- Release : 05 April 2018
- Publisher : Springer
- ISBN : 9789811071645
- Genre : Medical
- Total Page : 84 pages
- Language : English
- PDF File Size : 8,5 Mb
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